Hi, I’m Rachana Munugala, a Software Development Engineer specializing in backend and distributed systems for financial services and enterprise SaaS. I currently own backend platforms at Morgan Stanley, delivering trade processing and portfolio management systems that handle 15K+ daily transactions using Java, Spring Boot, Kafka, and AWS. I enjoy building reliable, scalable systems that integrate AI-driven automation to improve compliance, risk, and trading workflows. I have a track record of embedding AI workflows and RAG pipelines into production, including indexing 50K+ pages into vector stores for real-time context-aware responses. I’ve helped reduce manual review time by 3 hours per analyst per day and previously delivered scalable SaaS backends that shortened client onboarding from 14 to 10 days. I thrive in dual-domain environments, bridging capital markets engineering with AI/ML integration, mentoring junior engineers, and driving cross-functional delivery.

Rachana Munugala

Hi, I’m Rachana Munugala, a Software Development Engineer specializing in backend and distributed systems for financial services and enterprise SaaS. I currently own backend platforms at Morgan Stanley, delivering trade processing and portfolio management systems that handle 15K+ daily transactions using Java, Spring Boot, Kafka, and AWS. I enjoy building reliable, scalable systems that integrate AI-driven automation to improve compliance, risk, and trading workflows. I have a track record of embedding AI workflows and RAG pipelines into production, including indexing 50K+ pages into vector stores for real-time context-aware responses. I’ve helped reduce manual review time by 3 hours per analyst per day and previously delivered scalable SaaS backends that shortened client onboarding from 14 to 10 days. I thrive in dual-domain environments, bridging capital markets engineering with AI/ML integration, mentoring junior engineers, and driving cross-functional delivery.

Available to hire

Hi, I’m Rachana Munugala, a Software Development Engineer specializing in backend and distributed systems for financial services and enterprise SaaS. I currently own backend platforms at Morgan Stanley, delivering trade processing and portfolio management systems that handle 15K+ daily transactions using Java, Spring Boot, Kafka, and AWS. I enjoy building reliable, scalable systems that integrate AI-driven automation to improve compliance, risk, and trading workflows.

I have a track record of embedding AI workflows and RAG pipelines into production, including indexing 50K+ pages into vector stores for real-time context-aware responses. I’ve helped reduce manual review time by 3 hours per analyst per day and previously delivered scalable SaaS backends that shortened client onboarding from 14 to 10 days. I thrive in dual-domain environments, bridging capital markets engineering with AI/ML integration, mentoring junior engineers, and driving cross-functional delivery.

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Experience Level

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Intermediate
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Language

English
Fluent

Work Experience

Software Development Engineer, Backend at Morgan Stanley
August 1, 2025 - Present
Owned end-to-end design and delivery of trade processing and portfolio management microservices in Java and Spring Boot, handling 15K+ daily orders and settlements across equities, fixed income, and wealth-management workflows. Engineered agentic AI-driven automation into the trade surveillance pipeline, enabling LLM-assisted anomaly detection and intelligent alert routing, reducing manual review time by 3 hours per compliance analyst per day. Designed and deployed a retrieval-augmented generation (RAG) pipeline over internal regulatory and product documentation, embedding 50K+ pages into a vector store to deliver real-time, context-aware responses for financial advisors and operations teams. Constructed Kafka-based event-driven pipelines for real-time trade lifecycle state transitions, ensuring exactly-once processing semantics with 99.9% uptime. Optimized PostgreSQL query execution plans on multi-million-row tables, introduced Redis caching to reduce p95 latency for portfolio analyti
Software Engineer at Infinite InfoLab
June 1, 2020 - December 1, 2023
Architected modular Spring Boot microservices powering enterprise SaaS CRM and analytics platforms, cutting client onboarding turnaround from 14 days to 10 days through reusable service templates. Developed JWT-secured REST APIs with Spring Security and RBAC for multi-tenant deployments. Modeled relational and NoSQL schemas in MySQL and MongoDB, tuning compound indexes and query plans to accelerate report generation on high-volume datasets. Introduced async processing with CompletableFuture and scheduled executors for batch reporting, decoupling synchronous API paths and improving peak load throughput. Owned containerized deployments on AWS EC2 with Docker, automating CI/CD through Jenkins, improving production uptime to 99.7% and shortening release cycles. Built a real-time analytics ingestion service processing clickstream and user-event data into MongoDB, enabling behavioral cohort reports with sub-second query response times. Partnered with frontend developers to integrate REST end

Education

Master of Science in Computer Science at Syracuse University
January 11, 2030 - May 5, 2026

Qualifications

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Industry Experience

Financial Services, Software & Internet